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ABSTRACT:
PROVIDER: PRJNA1049198 | ENA |
REPOSITORIES: ENA
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Project description:Recent progress in unbiased metagenomic next-generation sequencing (mNGS) allows simultaneous examination of microbial and host genetic material in a single test. Leveraging affordable bronchoalveolar lavage fluid (BALF) mNGS data, we employed machine learning to create a diagnostic approach distinguishing lung cancer from pulmonary infections, conditions prone to misdiagnosis in clinical settings. This prospective study analyzed BALF-mNGS data from lung cancer and pulmonary infection patients, delineating differences in DNA/RNA microbial composition, bacteriophage abundances, and host responses, including gene expression, transposable element levels, immune cell composition, and tumor fraction derived from copy number variation (CNV). Integrating these metrics into a host/microbe metagenomics-driven machine learning model (Model VI) demonstrated robustness, achieving an AUC of 0.87 (95% CI = 0.857-0.883), sensitivity = 73.8%, and specificity = 84.5% in the training cohort, and an AUC of 0.831 (95% CI = 0.819-0.843), sensitivity = 67.1%, and specificity = 94.4% in the validation cohort for distinguishing lung cancer from pulmonary infections. The application of a rule-in and rule-out strategy-based composite predictive model significantly enhances accuracy (ACC) in distinguishing between lung cancer and tuberculosis (ACC=0.913), fungal infection (ACC=0.955), and bacterial infection (ACC=0.836). These findings highlight the potential of cost-effective mNGS-based analysis as a valuable tool for early differentiation between lung cancer and pulmonary infections, offering significant benefits through a single comprehensive testing.
2024-01-08 | GSE252118 | GEO
Project description:Purpose:Our data significantly advance understanding of probiotic regulatory mechanism of miRNA in ileum of Taiping chicken Methods: Using RNA-seq analysis to study the gene expression in ileum tissue after Taiping chicken was given probiotics Results: A total of 164,629,826 and 156,180,764 raw reads were generated from the CT and MP, respectively. After removing the interference data, about 164,028,872 and 155,579,470 clean reads were obtained Conclusions: through high-throughput sequencing of the six libraries from ileum of Taiping chicken, the expression level of mRNA has significant changes after given probiotics
2023-05-01 | GSE149710 | GEO
Project description:Purpose:Our data significantly advance understanding of Probiotics and Fructooligosaccharide regulatory mechanism in ileum of Taiping chicken Methods: Using RNA-seq analysis to study the gene expression in ileum tissue after Taiping chicken was given Probiotics and Fructooligosaccharide Results: A total of 164,629,826 and 149,883,266 raw reads were generated from the CT and MP_ FOS, respectively . After removing the interference data, about 164,028,872 and 149,364,852 clean reads were obtained Conclusions: through high-throughput sequencing of the six libraries from ileum of Taiping chicken, the expression level of mRNA has significant changes after given probiotics
2023-06-16 | GSE152878 | GEO
Project description:Purpose: Our data significantly advance understanding of Fructooligosaccharide regulatory mechanism in ileum of Taiping chicken Methods: Using RNA-seq analysis to study the gene expression in ileum tissue after Taiping chicken was given Fructooligosaccharide Results: A total of 164,629,826 and 152,047,552 raw reads were generated from the CT and FOS, respectively . After removing the interference data, about 164,028,872 and 151,452,588 clean reads were obtained Conclusions: through high-throughput sequencing of the six libraries from ileum of Taiping chicken, the expression level of mRNA has significant changes after given probiotics
2023-05-19 | GSE150908 | GEO
Project description:To understand how cholera toxin (CT) produced by Vibrio cholerae modulates gene expression of this organism within the intestine, RNA-seq analysis was performed on two samples each of WT and the ∆ctx mutant bacteria harvested from either the infant rabbit ileum or the cecum one-day post-intragastric infection. We found that 243 genes that were significantly up-regulated in the WT compared to the ∆ctx mutant and these included 101 genes in ileum samples, 118 in the cecum samples, and 24 in both samples. We found that genes known to be induced under low-iron growth conditions were up-regulated in WT relative to the ∆ctx mutant in both the ileum and in the cecum, with a marked up-regulation in the ileum relative to the cecum. We also found that genes involved in TCA cycle metabolism, L-Lactate utilization, and LCFA utilization were significantly up-regulated in the WT in the ileum relative to the ∆ctx mutant during infection. We conclude that CT-induced disease creates an iron-depleted metabolic niche in the gut that modulates the transcriptional profile of this pathogen during infection.
2019-07-31 | GSE132653 | GEO
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress